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run_all_layers.sh
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run_all_layers.sh
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#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full0.h5 --num_classes 1000 --layer_names resnet_v1_50/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full1.h5 --num_classes 1000 --layer_names resnet_v1_50/block1/unit_1/bottleneck_v1/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full2.h5 --num_classes 1000 --layer_names resnet_v1_50/block1/unit_1/bottleneck_v1/conv2
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full3.h5 --num_classes 1000 --layer_names resnet_v1_50/block1/unit_1/bottleneck_v1/conv3
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full4.h5 --num_classes 1000 --layer_names resnet_v1_50/block1/unit_2/bottleneck_v1/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full5.h5 --num_classes 1000 --layer_names resnet_v1_50/block1/unit_2/bottleneck_v1/conv2
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full6.h5 --num_classes 1000 --layer_names resnet_v1_50/block1/unit_2/bottleneck_v1/conv3
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full7.h5 --num_classes 1000 --layer_names resnet_v1_50/block1/unit_3/bottleneck_v1/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full8.h5 --num_classes 1000 --layer_names resnet_v1_50/block1/unit_3/bottleneck_v1/conv2
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full9.h5 --num_classes 1000 --layer_names resnet_v1_50/block1/unit_3/bottleneck_v1/conv3
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full10.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_1/bottleneck_v1/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full11.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_1/bottleneck_v1/conv2
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full12.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_1/bottleneck_v1/conv3
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full13.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_2/bottleneck_v1/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full14.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_2/bottleneck_v1/conv2
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full15.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_2/bottleneck_v1/conv3
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full16.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_3/bottleneck_v1/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full17.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_3/bottleneck_v1/conv2
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full18.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_3/bottleneck_v1/conv3
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full19.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_4/bottleneck_v1/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full20.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_4/bottleneck_v1/conv2
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full21.h5 --num_classes 1000 --layer_names resnet_v1_50/block2/unit_4/bottleneck_v1/conv3
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full22.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_1/bottleneck_v1/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full23.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_1/bottleneck_v1/conv2
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full24.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_1/bottleneck_v1/conv3
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full25.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_2/bottleneck_v1/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full26.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_2/bottleneck_v1/conv2
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full27.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_2/bottleneck_v1/conv3
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full28.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_3/bottleneck_v1/conv1
#python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full29.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_3/bottleneck_v1/conv2
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full30.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_3/bottleneck_v1/conv3
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full31.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_4/bottleneck_v1/conv1
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full32.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_4/bottleneck_v1/conv2
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full33.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_4/bottleneck_v1/conv3
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full34.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_5/bottleneck_v1/conv1
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full35.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_5/bottleneck_v1/conv2
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full36.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_5/bottleneck_v1/conv3
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full37.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_6/bottleneck_v1/conv1
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full38.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_6/bottleneck_v1/conv2
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full39.h5 --num_classes 1000 --layer_names resnet_v1_50/block3/unit_6/bottleneck_v1/conv3
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full40.h5 --num_classes 1000 --layer_names resnet_v1_50/block4/unit_1/bottleneck_v1/conv1
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full41.h5 --num_classes 1000 --layer_names resnet_v1_50/block4/unit_1/bottleneck_v1/conv2
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full42.h5 --num_classes 1000 --layer_names resnet_v1_50/block4/unit_1/bottleneck_v1/conv3
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full43.h5 --num_classes 1000 --layer_names resnet_v1_50/block4/unit_2/bottleneck_v1/conv1
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full44.h5 --num_classes 1000 --layer_names resnet_v1_50/block4/unit_2/bottleneck_v1/conv2
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full45.h5 --num_classes 1000 --layer_names resnet_v1_50/block4/unit_2/bottleneck_v1/conv3
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full46.h5 --num_classes 1000 --layer_names resnet_v1_50/block4/unit_3/bottleneck_v1/conv1
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full47.h5 --num_classes 1000 --layer_names resnet_v1_50/block4/unit_3/bottleneck_v1/conv2
python example_feat_extract.py --network resnet_v1_50 --checkpoint ../resnet_v1_50.ckpt --image_path ../../studies/ECoG/video_data/frames/ --out_file ./features_full48.h5 --num_classes 1000 --layer_names resnet_v1_50/block4/unit_3/bottleneck_v1/conv3